RATE: Responder Average Treatment Effect

In targeted: Targeted Inference

Responder Average Treatment Effect

Description

Estimation of the Average Treatment Effect among Responders

Usage

RATE(
  response,
  post.treatment,
  treatment,
  data,
  M = 5,
  pr.treatment,
  treatment.level,
  preprocess = NULL,
  efficient = TRUE,
  ...
)

Arguments

response	(formula or learner) Response model. A formula (e.g., Y ~ D*A) is wrapped in learner_glm with a Gaussian family.
post.treatment	(formula or learner) Post treatment marker model. A formula (e.g., D ~ W) is wrapped in learner_glm with a binomial family.
treatment	Treatment formula (e.g, A ~ 1)
data	data.frame
M	Number of folds in cross-fitting (M=1 is no cross-fitting)
pr.treatment	(optional) Randomization probability of treatment.
treatment.level	Treatment level in binary treatment (default 1)
preprocess	(optional) Data preprocessing function
efficient	If TRUE, the estimate will be efficient. If FALSE, the estimate will be a simple plug-in estimate.
...	Additional arguments to lower level functions

Value

estimate object

Author(s)

Andreas Nordland, Klaus K. Holst

targeted documentation built on July 15, 2026, 9:06 a.m.